Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9713591
Yu Li, Wenyu An, Lili Liu, J. Ren, Chengcheng Kong, Anqi Wang
In this paper, electromechanical transient models of MMC-HVDC connected to passive network are analyzed. Comparisons between voltage and current source equivalent models are carried out. First, the complex dynamic process inside converter is ignored and converter control loops are retained, establishing the voltage source equivalent model. Afterwards, the dynamic process of inner loop controller is simplified, establishing the current source equivalent model. Compared with the MMC-HVDC electromagnetic transient model under different operating conditions, the validity of electromechanical transient models under different disturbance are verified. For small disturbance analysis, both voltage source model and current source model are applicable. For large disturbance analysis, simulation results of voltage source model are more consistent with those of electromagnetic transient model.
{"title":"Research on Electromechanical Transient Equivalent Modeling of MMC-HVDC Connected to Passive Network","authors":"Yu Li, Wenyu An, Lili Liu, J. Ren, Chengcheng Kong, Anqi Wang","doi":"10.1109/EI252483.2021.9713591","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9713591","url":null,"abstract":"In this paper, electromechanical transient models of MMC-HVDC connected to passive network are analyzed. Comparisons between voltage and current source equivalent models are carried out. First, the complex dynamic process inside converter is ignored and converter control loops are retained, establishing the voltage source equivalent model. Afterwards, the dynamic process of inner loop controller is simplified, establishing the current source equivalent model. Compared with the MMC-HVDC electromagnetic transient model under different operating conditions, the validity of electromechanical transient models under different disturbance are verified. For small disturbance analysis, both voltage source model and current source model are applicable. For large disturbance analysis, simulation results of voltage source model are more consistent with those of electromagnetic transient model.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115441528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9713107
Heping Peng, W. Mo, Yong Wang, L. Luan, Zhong Xu
The safe and stable operation of power system is highly affected by transmission line fault. With the rapid development and application of multi-terminal transmission lines in distribution network, the researches on fault location methods of multi-terminal transmission lines are attracting more and more attention. However, the fault location algorithms for multi-terminal transmission lines is complicated and time-consuming. To improve the effectiveness and accuracy of fault location, a novel fault location algorithm for multi-terminal transmission lines in the distribution network is proposed in this paper. First, the directed graphs of distribution system with multi-terminal transmission lines are constructed and the nodes are classified as T-type and non-T-type nodes. Then the system is divided into multiple regions by each T-type node and the voltages of T-type node in different regions have been calculated by the loop-voltage equation to identify the fault region. Finally, non-fault regions have been merged to establish a new distribution system until both the fault branch and distance are determined. A practical distribution system has been established on the CloudPSS platform to test the method, and test results verify the practicality and accuracy of the proposed method.
{"title":"Fault Location Algorithm for Multi-Terminal Transmission Lines of Distribution System Based on Loop-Analysis","authors":"Heping Peng, W. Mo, Yong Wang, L. Luan, Zhong Xu","doi":"10.1109/EI252483.2021.9713107","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9713107","url":null,"abstract":"The safe and stable operation of power system is highly affected by transmission line fault. With the rapid development and application of multi-terminal transmission lines in distribution network, the researches on fault location methods of multi-terminal transmission lines are attracting more and more attention. However, the fault location algorithms for multi-terminal transmission lines is complicated and time-consuming. To improve the effectiveness and accuracy of fault location, a novel fault location algorithm for multi-terminal transmission lines in the distribution network is proposed in this paper. First, the directed graphs of distribution system with multi-terminal transmission lines are constructed and the nodes are classified as T-type and non-T-type nodes. Then the system is divided into multiple regions by each T-type node and the voltages of T-type node in different regions have been calculated by the loop-voltage equation to identify the fault region. Finally, non-fault regions have been merged to establish a new distribution system until both the fault branch and distance are determined. A practical distribution system has been established on the CloudPSS platform to test the method, and test results verify the practicality and accuracy of the proposed method.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115716366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9712905
Ruifeng Zhao, Bo Li, Wenjie Zheng, Jiangang Lu, Shiming Li
Since the traditional fault location method can no longer meet the requirements of safe and stable operation of distribution network with distributed generations, a fast fault simulation method of distribution network with distributed generations based on neural Petri net is proposed in this paper. According to the fault location rules of the Petri net, the segment fault simulation model of the distribution network with distributed generations is established based on the Petri net, and the segment fault simulation of the distribution network is realized by using matrix algorithm. In order to improve the self-learning ability of the fault diagnosis Petri net model, the neural network is combined with the traditional Petri net model, and the fast simulation model of distribution network fault based on the neural Petri net is established. The effectiveness of the proposed method is verified by a fault simulation example of the distribution network with distributed generations. The simulation results show that the combination of neural network and Petri net has strong fault reasoning ability and adaptive ability, which can realize the fault location quickly.
{"title":"A Fast Fault Simulation Method of Distribution Network with Distributed Geration Based on Neural Petri Net","authors":"Ruifeng Zhao, Bo Li, Wenjie Zheng, Jiangang Lu, Shiming Li","doi":"10.1109/EI252483.2021.9712905","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9712905","url":null,"abstract":"Since the traditional fault location method can no longer meet the requirements of safe and stable operation of distribution network with distributed generations, a fast fault simulation method of distribution network with distributed generations based on neural Petri net is proposed in this paper. According to the fault location rules of the Petri net, the segment fault simulation model of the distribution network with distributed generations is established based on the Petri net, and the segment fault simulation of the distribution network is realized by using matrix algorithm. In order to improve the self-learning ability of the fault diagnosis Petri net model, the neural network is combined with the traditional Petri net model, and the fast simulation model of distribution network fault based on the neural Petri net is established. The effectiveness of the proposed method is verified by a fault simulation example of the distribution network with distributed generations. The simulation results show that the combination of neural network and Petri net has strong fault reasoning ability and adaptive ability, which can realize the fault location quickly.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123062303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9712898
Erlin Liu, Zhaoxu Hua
Due to the influence of natural conditions such as rain and fog, the pillar insulators of substations accumulate a large amount of pollution on their surface to form a pollution layer, which can easily cause pollution flashover and seriously affect the operation safety of the substation. Based on the developed dry ice cleaning robot, this paper uses BP neural network combined with bat optimization algorithm to establish an insulator dry ice cleaning parameter optimization model, and optimizes the cleaning parameters with the goal of meeting the requirements of the cleaning effect and minimizing the consumption of dry ice. By collecting natural pollution A comparison test of the effect of manual pollution cleaning was carried out to confirm the adhesion of the pollution, and the parameters were input to the optimization model to obtain the optimal cleaning parameter combination. Experiments show that the proposed method improves the efficiency and cost-effectiveness of insulator cleaning operations, and has good practical value.
{"title":"Research on Optimization Method of Cleaning Parameters of Insulator Dry Ice Cleaning Robot","authors":"Erlin Liu, Zhaoxu Hua","doi":"10.1109/EI252483.2021.9712898","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9712898","url":null,"abstract":"Due to the influence of natural conditions such as rain and fog, the pillar insulators of substations accumulate a large amount of pollution on their surface to form a pollution layer, which can easily cause pollution flashover and seriously affect the operation safety of the substation. Based on the developed dry ice cleaning robot, this paper uses BP neural network combined with bat optimization algorithm to establish an insulator dry ice cleaning parameter optimization model, and optimizes the cleaning parameters with the goal of meeting the requirements of the cleaning effect and minimizing the consumption of dry ice. By collecting natural pollution A comparison test of the effect of manual pollution cleaning was carried out to confirm the adhesion of the pollution, and the parameters were input to the optimization model to obtain the optimal cleaning parameter combination. Experiments show that the proposed method improves the efficiency and cost-effectiveness of insulator cleaning operations, and has good practical value.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124403048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9713611
Yinchi Shao, Dawei Sun, Xuekun Cheng, Xiaoxiao Wang
In view of the situation that it is difficult to evaluate the effectiveness of islanding protection after distributed photovoltaic (PV) connected to rural distribution network, a criterion for islanding detection based on the offset of harmonic voltage and frequency was proposed, which was applied to the smart Transformer Terminal Unit (TTU) in low voltage transformer area. The laboratory power hardware-in-loop (PHIL) simulation platform was built to verify the anti-islanding protection function of a 10kW distributed PV inverter. Then, based on RT-LAB, a typical rural network in Northern Hebei was built to evaluate the effectiveness of the anti-islanding protection of inverter under different working conditions.
{"title":"Simulation on Anti-Islanding Protection of Distributed PV Inverter Based on RT-LAB and Smart TTU Device","authors":"Yinchi Shao, Dawei Sun, Xuekun Cheng, Xiaoxiao Wang","doi":"10.1109/EI252483.2021.9713611","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9713611","url":null,"abstract":"In view of the situation that it is difficult to evaluate the effectiveness of islanding protection after distributed photovoltaic (PV) connected to rural distribution network, a criterion for islanding detection based on the offset of harmonic voltage and frequency was proposed, which was applied to the smart Transformer Terminal Unit (TTU) in low voltage transformer area. The laboratory power hardware-in-loop (PHIL) simulation platform was built to verify the anti-islanding protection function of a 10kW distributed PV inverter. Then, based on RT-LAB, a typical rural network in Northern Hebei was built to evaluate the effectiveness of the anti-islanding protection of inverter under different working conditions.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125242686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9713443
Kai Sheng, Xiaoxing Zhu
Since wind power penetration is becoming high in power system, its characteristics of primary frequency control has more and more important influence on freque ncy stability analysis of power system. Through research on model parameter identification of wind farm's primary frequency control, the model for parameter identification was determined and wolf pack algorithm was developed as calculation method for parameter identification based o n actual power response data. Then parameter identificati on was applied to an actual wind farm. The comparison between simulation data and actual data indicated that th e identified model parameters could agree with actual po wer response of primary frequency control well.
{"title":"Model Parameter Identification of Wind Farm's Primary Frequency Control based on Actual Power Response Characteristic","authors":"Kai Sheng, Xiaoxing Zhu","doi":"10.1109/EI252483.2021.9713443","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9713443","url":null,"abstract":"Since wind power penetration is becoming high in power system, its characteristics of primary frequency control has more and more important influence on freque ncy stability analysis of power system. Through research on model parameter identification of wind farm's primary frequency control, the model for parameter identification was determined and wolf pack algorithm was developed as calculation method for parameter identification based o n actual power response data. Then parameter identificati on was applied to an actual wind farm. The comparison between simulation data and actual data indicated that th e identified model parameters could agree with actual po wer response of primary frequency control well.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117255554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9712991
Junwei Fan, Jizhong Zhu, Wanli Wu, Hanjiang Dong, Haohao Zhu, T. Luo
Aiming at the problem of abundant wind energy resources but insufficient consumption in some areas, this paper proposes a joint transaction model of wind-thermal power generation rights based on cooperative game theory. Three allocation strategies: the nucleolar method, Shapley value method, and the equal modified disruption propensity (MDP) method, are used to allocate the revenues of each power generation enterprise after cooperation. MDP index of three allocation strategies is compared in case study, and then the technique for order preference by similarity to ideal solution (TOPSIS) comprehensive evaluation method is used to calculate the relative satisfaction of the three allocation strategies. Result shows that each power generation enterprise is more willing to accept the distribution of revenues by the equal MDP method allocation strategy. The joint transaction of wind-thermal power generation rights can effectively promote the consumption of wind power, and also bring additional benefits to power generation enterprises.
针对部分地区风能资源丰富但利用不足的问题，提出了一种基于合作博弈论的风热发电权联合交易模型。采用核核法、Shapley值法和等修正干扰倾向(MDP)法三种分配策略对各发电企业合作后的收益进行分配。在实例分析中比较了三种分配策略的MDP指标，并利用TOPSIS (order preference by similarity to ideal solution)综合评价法计算了三种分配策略的相对满意度。结果表明，采用均等MDP分配策略，各发电企业更愿意接受收益的分配。风热发电权联合交易可以有效促进风电的消纳，也为发电企业带来额外的效益。
{"title":"Revenues Allocation Model and Evaluation Method for Joint Transaction of Wind-Thermal Power Generation Rights Based on Cooperative Game","authors":"Junwei Fan, Jizhong Zhu, Wanli Wu, Hanjiang Dong, Haohao Zhu, T. Luo","doi":"10.1109/EI252483.2021.9712991","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9712991","url":null,"abstract":"Aiming at the problem of abundant wind energy resources but insufficient consumption in some areas, this paper proposes a joint transaction model of wind-thermal power generation rights based on cooperative game theory. Three allocation strategies: the nucleolar method, Shapley value method, and the equal modified disruption propensity (MDP) method, are used to allocate the revenues of each power generation enterprise after cooperation. MDP index of three allocation strategies is compared in case study, and then the technique for order preference by similarity to ideal solution (TOPSIS) comprehensive evaluation method is used to calculate the relative satisfaction of the three allocation strategies. Result shows that each power generation enterprise is more willing to accept the distribution of revenues by the equal MDP method allocation strategy. The joint transaction of wind-thermal power generation rights can effectively promote the consumption of wind power, and also bring additional benefits to power generation enterprises.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121362088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9713480
Fan Li, Feng Li, Kai Yu
Distributed power sources with random and intermittent characteristics will cause power fluctuations in the microgrid system, so then affecting the economy and reliability of the microgrid. Therefore, this article proposes a method for isolated wind/light/hydrogen/storage DC microgrids. Firstly, the capacity allocation optimization model is constructed with the goal of the least unit electricity cost, the lowest load shortage rate, and the lowest energy surplus rate. Secondly, a new intelligent algorithm, pigeon inspired optimization algorithm, is used to solve the model. In view of the defects of the algorithm which is easy to fall into local optimum and low convergence accuracy, this paper proposes four methods to improve it. Through the qualitative analysis of the test function, the effectiveness of the algorithm is verified. Finally, a simulation model is established to verify the rationality of the model.
{"title":"Optimal Configuration of Isolated DC Microgrid Capacity Based on Cbpio Algorithm","authors":"Fan Li, Feng Li, Kai Yu","doi":"10.1109/EI252483.2021.9713480","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9713480","url":null,"abstract":"Distributed power sources with random and intermittent characteristics will cause power fluctuations in the microgrid system, so then affecting the economy and reliability of the microgrid. Therefore, this article proposes a method for isolated wind/light/hydrogen/storage DC microgrids. Firstly, the capacity allocation optimization model is constructed with the goal of the least unit electricity cost, the lowest load shortage rate, and the lowest energy surplus rate. Secondly, a new intelligent algorithm, pigeon inspired optimization algorithm, is used to solve the model. In view of the defects of the algorithm which is easy to fall into local optimum and low convergence accuracy, this paper proposes four methods to improve it. Through the qualitative analysis of the test function, the effectiveness of the algorithm is verified. Finally, a simulation model is established to verify the rationality of the model.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127112635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9713470
Yahong Xing, Zhiwen Zhang, Wei Song, Xiaojun Song, Jia Zhang, Bo Liu
With the large-area access of distributed power sources, higher requirements are put forward for the load-bearing and diagnosis of equipment in the distribution network. In order to improve the intelligent diagnosis ability of distribution network, an online fault diagnosis method based on Decision Tree (DT) is proposed in this paper, which can realize intelligent detection without additional auxiliary equipment. In this paper, the C4.5 algorithm is used to construct a transformer health assessment model. It can be seen from the results that the classification accuracy rate reaches 97.91%, and the Kappa index is 0.961, which is significantly better than the other three types of algorithms. This model is expected to realize the intelligent coordination between the physical space and the digital physical mirror space, which can greatly improve the self-diagnosis and operation capabilities of key equipment.
{"title":"Intelligent Diagnosis Method of Distribution Network Fault for Construction of Digital Twin Coordination System","authors":"Yahong Xing, Zhiwen Zhang, Wei Song, Xiaojun Song, Jia Zhang, Bo Liu","doi":"10.1109/EI252483.2021.9713470","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9713470","url":null,"abstract":"With the large-area access of distributed power sources, higher requirements are put forward for the load-bearing and diagnosis of equipment in the distribution network. In order to improve the intelligent diagnosis ability of distribution network, an online fault diagnosis method based on Decision Tree (DT) is proposed in this paper, which can realize intelligent detection without additional auxiliary equipment. In this paper, the C4.5 algorithm is used to construct a transformer health assessment model. It can be seen from the results that the classification accuracy rate reaches 97.91%, and the Kappa index is 0.961, which is significantly better than the other three types of algorithms. This model is expected to realize the intelligent coordination between the physical space and the digital physical mirror space, which can greatly improve the self-diagnosis and operation capabilities of key equipment.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127231674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-22DOI: 10.1109/EI252483.2021.9713045
Zhuoyan Guo, Runquan Meng, R. Cao, Hao Zhang
With the increase of DC power supply and DC load, the research significance of DC microgrid is becoming more and more important. As the key equipment of transregional low-voltage DC distribution network, flexible interconnection switch can realize inter-regional low-voltage DC power interconnection and flexible supply transfer, which is conducive to the full absorption and efficient utilization of renewable energy. But for dc power scheduling control strategy between piconets research is not many, therefore, in order to optimize the dc energy between piconets scheduling optimization, the control strategy of the implementation of flexible interconnection switch different patterns of smooth transition, this study analyses the different patterns of working status, put forward a new closed loop control structure, The control can not only realize bidirectional power transmission in the distribution area on both sides, but also adjust the dc voltage on both sides. Finally, the control structure is verified by MATLAB/Simulink simulation.
{"title":"A Novel Closed-Loop Control for Flexible Interconnecting Switches","authors":"Zhuoyan Guo, Runquan Meng, R. Cao, Hao Zhang","doi":"10.1109/EI252483.2021.9713045","DOIUrl":"https://doi.org/10.1109/EI252483.2021.9713045","url":null,"abstract":"With the increase of DC power supply and DC load, the research significance of DC microgrid is becoming more and more important. As the key equipment of transregional low-voltage DC distribution network, flexible interconnection switch can realize inter-regional low-voltage DC power interconnection and flexible supply transfer, which is conducive to the full absorption and efficient utilization of renewable energy. But for dc power scheduling control strategy between piconets research is not many, therefore, in order to optimize the dc energy between piconets scheduling optimization, the control strategy of the implementation of flexible interconnection switch different patterns of smooth transition, this study analyses the different patterns of working status, put forward a new closed loop control structure, The control can not only realize bidirectional power transmission in the distribution area on both sides, but also adjust the dc voltage on both sides. Finally, the control structure is verified by MATLAB/Simulink simulation.","PeriodicalId":238797,"journal":{"name":"2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127360043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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